Remove tag Cancer
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How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

Cloudera

A small group of researchers set out to solve the black-box enigma of certain kinds of vicious cancers. There are so many cancers, so their vision was to focus on especially heinous ones. Fast forward to their recent FDA approval of their “Hail Mary” procedure and treatment methodology for stage-four patients of a particular cancer.

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Computer Vision in Healthcare: Creating an AI Diagnostic Tool for Medical Image Analysis

Altexsoft

Skin cancer classification on photographs and dermoscopic images. The most widespread oncology disease in the US, skin cancer is in most cases detected visually. Recent research demonstrates that machine learning models show better results in skin cancer classification than an average dermatologist. Source: Google AI Blog.

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List of Top 10 Machine Learning Examples in Real Life

Openxcell

The answer to all your question is this blog. Tempus: It seeks to advance cancer research by gathering enormous quantities of clinical and medical data to support individualized treatments. AtSpoke: It is an internal tagging framework that enables internal groups to naturally recognize 40% of requests and respect goals 5x more quickly.

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In Praise of What You Can Do

Next Level Blog

This has gone on for years, but the latest reason why is Diane and her blog on cooking gluten and dairy free. She started the blog a couple of years ago when she learned from her doctor that food intolerances were the source of a host of health hassles that she had experienced for years. He can’t talk and he can’t eat. He can’t eat.

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What a Week for Departures: HP's Hurd, Jet Blue's Slater and.

Next Level Blog

Another is that he was spending most for his days off traveling from New York to California to take care of his mom who is dying from cancer. (Do Layer three is the generally overwhelming support that people commenting on blogs and Facebook have for Slater. As one blog commenter wrote, “I wish I had an emergency slide out of my office.”

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Clinical Document Analysis with One-Liner Pretrained Pipelines in Healthcare NLP

John Snow Labs

In this blog post, we’ll see that instead of creating long pipelines, we can achieve the same result with pre-trained pipelines. 4 explain_clinical_doc_oncology Extract cancer-related information from clinical documents, assign assertion status, and provide relations between the extracted data.